Position Details
About this role
This role involves designing and developing cloud-based data lakes and pipelines, leveraging Databricks and big data technologies to support enterprise data needs in a financial services environment.
Key Responsibilities
- Design cloud data lakes
- Build data pipelines
- Ensure data quality and security
- Develop high-performance transformations
- Collaborate with stakeholders
Technical Overview
The technical environment includes cloud platforms (AWS, Azure), Databricks, ETL processes, big data processing, and database design, with a focus on performance and security.
Ideal Candidate
The ideal candidate is a senior data engineer with over 10 years of experience in designing and developing large-scale enterprise data solutions, proficient in cloud platforms like AWS and Azure, with strong skills in Databricks, ETL, and big data processing within financial services.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with Databricks, No cloud platform experience, Insufficient years of experience, No background in financial services
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